#non functional testing

8 Types of Functional Testing

Functional and non-functional testing are the two types of software testing. There are various types of functional testing, that are as below: Unit Testing Integration Testing System Testing Regression Testing Smoke Testing Sanity Testing Acceptance Testing User Acceptance Testing Brief Description of Functional Testing Types Unit Testing Unit testing ensures that every piece of code written in…

You cannot talk about the latest practices like DevOps, Continuous Delivery and Continuous Testing without the term Automation. With the power of automation, Testing has taken a ‘moonshot’, transforming the way the world looks at Testing.

In a traditional software development environment, testing would get completed at the end of the development cycle. Also, manual testing is time-consuming and prone to errors. Organizations are now translating their manual test cases to automated testing to achieve Quality-at-Speed, lower the risk factor and improve the test coverage.

Agile and DevOps have changed the way the code is developed, tested and deployed. Development and QA teams are under tremendous pressure to have a working version of the software within each sprint. The software is always in development and must be deployment-ready at all instances making testing mandatory at every stage of the delivery pipeline. And Continuous Testing and Test Automation are the keys to its success.

According to the World Quality Report, there is an increase in the adoption of Agile and DevOps. With the growing risk and complexity of software development, teams are on the hook to keep quality high. This has resulted in QA teams becoming orchestrators of quality.

So What exactly is Test Automation?

Test Automation is a method in software testing that leverages automation tools to control the execution of tests. Test automation is also called automated testing or automated QA testing.

According to the MarketsAndMarkets report, “the global test automation market size is anticipated to rise from USD 12.6 Billion in 2019 to USD 28.8 Billion by 2024 at a CAGR (Compound Annual Growth Rate) of 18.0 per cent during the prediction period”.

Types of

Automation Tests

Let us look at the types of tests that can be automated and how they help test every aspect of the system enabling users to achieve a frictionless experience.

Unit Tests: How well does your single unit of code work independently?

Integration and API Tests: How well does your system work when all units are integrated? Does it make or break the system? How well does your system work with external systems?

Regression Tests: How well does your system work when you add a new feature to your existing one? Has your software “regressed” after the new update? Every time you add a new feature or functionality, you need to check if there is any impact on the existing features

Performance Tests: How well do your software handle load and stress? How well is the responsiveness and stability of your software?

Smoke Tests: How well is your software’s stability? How well are your software’s functionalities working? Are there any showstoppers?

Security Tests: How well is your software secure from any vulnerabilities?

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Intelligent automation (IA) is a technique to automate predefined repetitive testing tasks, using various test automation tools and testing scripts. The Future of Intelligent Automation report by Gartner, reported that “Intelligent automation provides huge potential for greater productivity and efficiency in application testing, at a lower cost.”

Test automation is the key to continuous testing and has marked benefits in accuracy, scalability, dependability, enhanced test coverage, time, and effort saving. Intelligent automation contributes to the enormous potential for higher productivity, and efficiency in application testing at a lower cost. The Future of Intelligent Automation report by Gartner, also reported that by 2022, 40% of application development (AD) projects will use AI-enabled test set optimizers that build, maintain, run and optimize test assets.”

Next innovation in QA intelligent automation and productivity.

Why does it matter?

By working with application leaders to explore IA use cases, such as test optimization, defect prediction, model-based testing, test data generation, and test insights, the team increases application testing agility. Incorporating intelligent automation into application testing services for both new proposals and existing contracts optimizes application testing costs. 

Applying intelligent automation provides an incredible improvement in quality and an increase in application testing speed. An effective IA testing considers all the changes due to bug fixes or introducing a new feature. Besides modifying and executing the affected test cases and scripts (often referred to as healing) there has to be a service level guarantee that all possible scenarios are covered. The cherry on the top will be if the time and cost are not affected much.

It’s the golden era of Test Automation! You cannot talk about the latest practices like DevOps, Continuous Delivery and Continuous Testing without the term Automation. With the power of automation, Testing has taken a ‘moonshot’, transforming the way the world looks at Testing.

In a traditional software development environment, testing would get completed at the end of the development cycle. Also, manual testing is time-consuming and prone to errors. Organizations are now translating their manual test cases to automated testing to achieve Quality-at-Speed, lower the risk factor and improve the test coverage.

Agile and DevOps have changed the way the code is developed, tested and deployed. Development and QA teams are under tremendous pressure to have a working version of the software within each sprint. The software is always in development and must be deployment-ready at all instances making testing mandatory at every stage of the delivery pipeline. And Continuous Testing and Test Automation are the keys to its success.

According to the World Quality Report, there is an increase in the adoption of Agile and DevOps. With the growing risk and complexity of software development, teams are on the hook to keep quality high. This has resulted in QA teams becoming orchestrators of quality.

So What exactly is Test Automation?

Test Automation is a method in software testing that leverages automation tools to control the execution of tests. Test automation is also called automated testing or automated QA testing.

According to the MarketsAndMarkets report, “the global test automation market size is anticipated to rise from USD 12.6 Billion in 2019 to USD 28.8 Billion by 2024 at a CAGR (Compound Annual Growth Rate) of 18.0 per cent during the prediction period”.

Types of Automation Tests

Let us look at the types of tests that can be automated and how they help test every aspect of the system enabling users to achieve a frictionless experience.

Unit Tests: How well does your single unit of code work independently?

Integration and API Tests: How well does your system work when all units are integrated? Does it make or break the system? How well does your system work with external systems?

Regression Tests: How well does your system work when you add a new feature to your existing one? Has your software “regressed” after the new update? Every time you add a new feature or functionality, you need to check if there is any impact on the existing features

Performance Tests: How well do your software handle load and stress? How well is the responsiveness and stability of your software?

Smoke Tests: How well is your software’s stability? How well are your software’s functionalities working? Are there any showstoppers?

Security Tests: How well is your software secure from any vulnerabilities?

Criteria to Choose Which Tests to Automate?

The more automation you do, the more time you save. But this doesn’t mean you can automate everything! So, how do you choose the type of test cases that can be automated?

To get the maximum Return on Investment (ROI), automate the test cases that fall under the following criteria:

High Volume and Repetitive tests that need to be run for every build like the smoke test, regression tests

Business-Critical Tests

Tests that need to run over multiple configurations/browsers/devices/OS/environment/hardware

Non-functional tests like performance, stress and load tests

Time-consuming manual tests

Implementing a Test Automation Strategy

Quality, Agility and Continuous delivery go hand-in-hand in the software development cycle.

The Test Automation Strategy defines a framework for automated test scripts. It calls for automating tests at different levels.

Unit and Integration testing represents the base and majority of this test automation pyramid. Next comes, service layer, or API testing where the API tests are executed against the service layer.

And finally at the top of the pyramid are the GUI tests that validate the application as a whole at the presentation layer. Top it up with exploratory testing that identifies potential edge cases. Unlike scripted testing, exploratory testing uncovers unique and out-of-scope defects that would have otherwise been missed.

Defining the automation scope Defining the scope can be tricky for many teams due to the magnitude of the project’s features and functionalities. Answering these 2 questions can help the team to formulate a better scope and provide the stakeholders a bird’s eye view of the scope.

Which are the features that need testing? This defines the area of the application which will be automated.

What is the testing approach for each of the selected features?

Defining the scope will help keep all the teams on the same page.

Selecting the Right Test Automation Tool A tool may be the best in the market, but is it right for you?

A right tool can help you reinvigorate and accelerate the success of your automation journey. There are a plethora of tools available in the market to choose from based on your project requirement and scope of automation.

Consider the following parameters while choosing the best tool based on your requirement:

Availability of extensive test reports and analytics

Learning curve/Ease of use with a user-friendly interface

Ease of test creation and maintenance

Support

Planning, Designing and Developing To plan an automation test strategy, you need to consider your goals for the testing process and the timelines for executing the test cases. Accordingly, you need to: a. Develop the test scope b. Develop the test cases c. Develop the test suites

Execution and Reporting To execute the automated testing scripts, you need to be ready with the input data. Reports would be generated based on the test execution results.

Service Catagory-Non-Functional Testing 

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Software testing is characterized as a process to check whether the real outcomes coordinate the normal outcomes and to guarantee that the product framework is without defect. It includes the execution of a product segment or framework part to assess at least one property of interest.

Software Testing Types

Software Testing Type is a grouping of various testing exercises into classifications, each having a characterized test objective, test methodology, and test expectations. The objective of having a testing type is to approve the Application Under Test(AUT) for the characterized Test Objective.

Top list of types of Software Testing Types along with definitions.

1.Acceptance Testing: Acceptance testing led to decide if a framework fulfils its acknowledgement criteria and to empower the client to decide if to acknowledge the framework. It is typically performed by the client. 

2.Accessibility Testing: Type of testing which decides the ease of use of an item to the individuals having incapacities (deaf, mentally disabled, blind, etc). The assessment procedure is directed by people having disabilities. 

3.Agile Testing: Software testing practice that pursues the standards of the agile declaration, underscoring testing from the point of view of clients who will use the framework. It is generally performed by the QA groups. 

4.API Testing: Testing procedure like Unit Testing in that it focuses on the code level. Programming interface Testing varies from Unit Testing in that it is regularly a QA task and not developer task. 

5.Automation Testing: A Testing system that utilizations Automation Testing instruments to control the earth set-up, test execution and results revealing. It is performed by a computer and is utilized inside the testing groups. 

6.Black box Testing: A strategy for software testing that confirms the usefulness of an application without having explicit information about the application's code/interior structure. Tests depend on necessities and usefulness. It is performed by QA teams. 

7.Compatibility Testing: A testing procedure that approves how well a product performs in a specific equipment/programming/working framework/organize condition. It is performed by the testing groups. 

8.Component Testing: A testing system that contrasts the item qualities and shortcomings and past variants or other comparable items. It can be performed by the analyzer, engineers, item administrators or item proprietors. 

9.Configuration Testing: A testing strategy which decides insignificant and ideal setup of equipment and programming, and the impact of including or adjusting assets, for example, memory, plate drives, and CPU. Typically it is performed by the Performance Testing engineers. 

10.Conversion Testing: Testing of procedures or programs used to change over information from existing frameworks for use in substitution frameworks. It is normally performed by the QA groups.

11. End-to-end Testing: Similar to system testing, it includes testing of a total application condition in a circumstance that mirrors true use, for example, interfacing with a database, utilizing system correspondences, or collaborating with other equipment, applications, or frameworks if proper. It is performed by QA groups. 

12.Exploratory Testing: Black box testing procedure performed without arranging and documentation. It is generally performed by manual analyzers. 

13.Functional Testing: Type of black-box testing that puts together its experiments with respect to the particulars of the product segment under test. It is performed by testing groups. 

14.Gray Box Testing: A mix of Black Box and White Box testing approaches: testing a bit of programming against its detail yet utilizing some learning of its inner functions. It tends to be performed by either development or testing groups.

15.Integration Testing: The stage in software testing wherein singular programming modules are consolidated and tried as a gathering. It is normally directed by testing groups. 

16.Load Testing: A testing procedure that puts a request on a framework or gadget and measures its reaction. It is normally led by performance engineers. 

17.Manual-Support Testing: A testing procedure that includes testing of the considerable number of capacities performed by the individuals while setting up the information and utilizing this information from the mechanized framework. It is directed by testing groups.

18.Non-functional Testing: Testing method which spotlights on testing of a product application for its non-practical prerequisites. It can be led by the presentation engineers or by manual testing groups.

19.Penetration Testing: Testing technique which assesses the security of a PC framework or system by mimicking an assault from a pernicious source. Generally, they are led by specific infiltration testing organizations. 

20.Performance Testing: Functional testing led to assess the consistency of a framework or part with determining execution prerequisites. It is typically led by the presentation engineer.

21.Beta Testing: Final testing before discharging an application for business purposes. It is normally done by end-clients or others. 

22.Compliance Testing: Type of testing which checks whether the framework was created as per benchmarks, techniques, and rules. It is normally performed by outside organizations that offer an "Affirmed OGC Compliant" brand. 

22.Domain Testing: White box testing strategy which contains watching that the program acknowledges just substantial information. It is generally done by programming advancement groups and once in a while via mechanization testing groups. 

23.Gray Box Testing: A mix of Black Box and White Box testing approaches: testing a bit of programming against its detail however utilizing some information on its inside operations. It very well may be performed by either advancement or testing groups. 

24.Interface Testing: Testing led to assess whether frameworks or segments pass information and control effectively to each other. It is typically performed by both testing and advancement groups. 

25.Non-functional Testing: A testing procedure which centres around testing of a product application for its non-practical prerequisites. It tends to be led by the presentation engineers or by manual testing groups. 

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